Supply networks for extreme uncertainty: a resource orchestration perspective

Show simple item record Skipworth, Heather Bastl, Marko Cerruti, Corrado Mena, Carlos 2023-03-01T11:17:05Z 2023-03-01T11:17:05Z 2023-02-20
dc.identifier.citation Skipworth HD, Bastl M, Cerruti C, Mena C. (2023) Supply networks for extreme uncertainty: a resource orchestration perspective, International Journal of Operations and Production Management, Volume 43, Issue 5, April 2023, pp. 677-711 en_UK
dc.identifier.issn 0144-3577
dc.description.abstract Purpose: Disasters are growing in frequency and scale, unmasking the systemic vulnerabilities of modern supply chains and highlighting the need to understand how to respond to such events. In the context of an extreme event such as the Covid-19 pandemic, this research focuses on how networks of organizations leverage their combined resources and capabilities to develop, manufacture, and deliver new products outside their traditional markets. Design/methodology/approach: Following a theory elaboration process, we build on resource orchestration theory to develop data collection and analysis protocols to support a multi-case study research design. This research investigates four cases of newly formed networks that emerged in four different countries – Colombia, Italy, the United States, and the United Kingdom – in response to the Covid-19 pandemic. Findings: These four networks in our investigation share common characteristics in terms of motivation and approach, creating patterns from which theoretical generalizations are developed into a series of propositions regarding the process of network-level resource orchestration under extreme uncertainty. Originality: This research contributes to theory by extending the resource orchestration model to a network level and showing how extreme uncertainty can lead to the emergence of networks and alter the motivations and goals of the member organizations, allowing them to be more responsive. Practical implications: The research shows how networks and the organizations within them can streamline processes, swiftly build new relationships, and develop a balanced risk management approach to extreme uncertainty. en_UK
dc.language.iso en en_UK
dc.publisher Emerald en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri *
dc.subject Resource Orchestration en_UK
dc.subject Networks en_UK
dc.subject Crisis Management en_UK
dc.subject Case Study Research en_UK
dc.title Supply networks for extreme uncertainty: a resource orchestration perspective en_UK
dc.type Article en_UK
dc.identifier.eissn 1758-6593

Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International

Search CERES


My Account